Data quality in supply chains is getting greater attention from both industries and researchers. As poor data quality could cost a fortune for supply chain partners, the quality of the data is becoming an important research topic within the supply chain management literature. There are many benefits in having good data quality in supply chains such as cutting costs and improving responsibility and accuracy along the chain. Increasingly customers are demanding details for transactional data and the source of the manufactured products, including raw materials, suppliers, etc. Having good data quality helps create efficient supply chains with greater accuracy and transparency. As there exists limited literature surveys in the supply chains and data quality contexts, this study explores data quality in supply chains through literature survey and bibliometric review. The bibliometric analysis for data quality has been proceeded employing a visualization software to elucidate the prominent keywords, publication trends, authors and their cooperation and active countries in this field. The study reveals some interesting findings about the direction and trends of data quality in supply chains and emerging research themes, leading countries, key authors and emerging research topics in this field.